Özlem Özgöbek (NTNU), Andreas Lommatzsch (DAI Lab, TU Berlin), Benjamin Kille (NorwAI, NTNU), Peng Liu (NorwAI, NTNU), Edward C. Malthouse, (Northwestern University), Jon Atle Gulla (NorwAI, NTNU)

Daily news consumption has crucial importance where it affects personal beliefs, decision making, political voting and world views in general. The news ecosystem has experienced drastic changes over the last decade. News consumption has shifted online and increasingly towards social media. On digital platforms such as news portals and social media, where personalization has more importance, the news is filtered and ranked even without users’ awareness. Therefore, we encounter challenges such as lack of transparency, diversity, and other ethical considerations while trying to generate the most suitable personalized recommendations for the users. In addition, the emergence of powerful Large Language Models presents a challenge for news organisation and consumers alike. The 11th International Workshop on News Recommendation and Analytics (INRA 2023 in conjunction with ACM RecSys 2023) invites scholars from diverse disciplines to discuss topics related to news recommendation, including but not limited to technical, societal, and ethical aspects.